The deterrence hypothesis revisited

This study explores the causes of crime and the differences in deterrent effects of policing on crimes among rural, suburban, and urban communities. We hypothesize that certain numbers of all crimes are unaffected by policing due to their high net return; policing deters only marginal crimes. That is, unlike other research efforts, we recognize that there is a level of crime indigenous to a given type of community about which little can be done, although a particular community can affect deviations from this level. By introducing this ‘natural rate' of crime we are able to empirically reveal the deterrence effect of police expenditures upon all types of property crimes except robberies. The study analyzes 230 communities in a system of six simultaneous equations, using police, crime, and other socio-economic variables. The model can be used by state and regional policy-makers to more effectively allocate resources to the different types of communities under their jurisdiction and among the various police functions designed to deter specific types of crime.     

Optimal expenditures on police protection

The object of this paper is to propose an approach for operationalizing Rubin's (Minimizing Harm: a New Crime Policy for modern America, Westview Press, Boulder, CO, 1999) idea that minimizing harm is a solution to the crime policy conundrum. Harm is defined to be the total cost of damages due to crime plus the cost of police protection. Its minimization determines optimal expenditures for protection. This is an appropriate basis for specifying the optimal size of a police force, and provides a term of reference for actual policy decisions. Data for the states of the US are used to make the presentation more concrete and to clarify some of the problems that must be solved in actual applications of the method suggested. This does not eliminate the applicability of the approach to any other country or to the geo-political subdivisions within a country. The results obtained are of interest to policy makers dealing specifically with expenditures for police at local, regional or national levels or, more generally, with similar uses of public or private financial resources.     

‘Old age’ and Ageism in Urban Research: The Case of Fear of Crime

A critique has recently been made of research and theory on ageing in spatial research, arguing for the development of approaches which are informed by critical theoretical perspectives. Perhaps the most significant of these is the recognition that ‘old age’ is culturally constructed. This paper illustrates the value of such an approach with reference to understanding of fear of crime. It is suggested that many difficulties with past research result from epistemological problems, including ageism. A number of assumptions about elderly people and crime can be contested if scrutiny is informed by humanistic, feminist and social constructionist perspectives. Drawing on in depth interviews with elderly people, some of the problems and prospects of work on old age are discussed. Age is only one dimension by which people situate themselves and are situated by others in relation to the risk of crime. Local contexts, life course experiences and other social identities are involved in the constitution of fear for each individual. While the role of ageing can be understood within a framework of power relations, its positive as well as negative impacts on reactions to crime require representation. Similar analysis could profitably be developed in other areas of urban research.     

The Effects of Criminal Experience on the Incidence of Crime

A bstract . A hypothesis has been analyzed that criminals learn by doing, that with experience criminals increase their activity so that with level outlays on police the incidence of crime may be increasing. This hypothesis is tested by statistical analysis of time series cross sectional data on crime levels, police outlays and various socioeconomic variables. The results confirm that "learning by doing"—accumulating criminal experience—increases criminal activity, that police outlays have a negative and significant effect on crime and that certain socioeconomic characteristics have a significant effect on crime.     

单位累犯制度若干问题研究

由于现行刑法的明确规定,单位成为和自然人并列的一类犯罪主体,这为打击实践中纷繁复杂的单位犯罪问题提供了有效的法律保障。然而,刑法在肯定单位犯罪主体地位的同时,对与之密切相关的一系列刑罚制度问题并没有做出明确的规定,单位累犯制度就是其中之一。文章旨在通过对单位累犯相关问题的探析,为完善单位犯罪刑罚制度提出拙见。     

Casinos,casino size,and crime: A panel data analysis of Michigan counties

Growth in legal gaming in the United States over the past quarter century or so is well-documented. One important factor fueling this growth was the passage of the Indian Gaming Regulatory Act of 1988, which permitted Native American tribes to establish, under agreements or “compacts” with the states in which they are located, casinos offering what is known as Class III gaming: slot machines, blackjack, roulette, and other games. Since the passage of the Act, there have been 21 Native American casinos established in Michigan. Also, three non-Native American casinos opened in Detroit in 1999 and 2000. This growth in the number of casinos has sparked a wide-ranging debate over the social and economic impacts of casino development.The purpose of this research is to focus on the crime issue in the broader casino debate. We investigate the impact of these Michigan casinos on the rates of burglary, robbery, larceny and motor vehicle theft (property crimes) in casino host counties as well as in nearby counties. We employ a panel data set with annual observations on all 83 Michigan counties for the period 1994–2010. The dataset includes crime rates taken from the FBI crime data series, variables for the presence of a casino in a county or in a nearby county, the scale of a casino's operations as measured by revenues, and a variety of control variables suggested by the broader literature investigating the factors that determine crime rates generally.Our results suggest that in most cases the property crime rates studied are not affected by the presence or size of a casino in a county or in a nearby county. The largest such impact, which is negative, is for motor vehicle theft. The size of a casino does have a small positive effect on the motor vehicle theft rate.     

Poverty and crime in 19th century Germany

We estimate the impact of poverty on crime in 19th century Bavaria, Germany. Rainfall is used as an instrumental variable for grain (rye) prices to address econometric identification problems in the existing literature. The rye price was a major determinant of living standards during this period. The rye price has a positive effect on property crime: a one standard deviation increased property crime by 8%. OLS estimates are twice as large as instrumental variable estimates, highlighting the value of our empirical approach. Higher rye prices lead to significantly less violent crime, though, and we argue that higher beer prices, caused by the higher rye prices, are a likely explanation.     

Transient Crowding and Crime:

A bstract . The effects on crime rates of the intrusion of large numbers of strangers into an area are investigated. The sensitivity of six different crime types ( murder, rape, assault, robbery, burglary , and larceny ) to density of strangers is estimated using a standard model of criminal behavior. The variables which reflect this density are measures of tourists, college students, shoppers from other areas, opportunities to consume alcohol , and the presence of interstate highway exits. The results suggest that an increase in the number of strangers into an area has a positive effect on the crimes of burglary, larceny, and robbery, but very little effect on assault, murder and rape. A significant finding is that "wet" counties have a higher incidence of each crime type than do "dry" counties. From a policy standpoint, officials who support economic growth in urban areas should keep in mind that an increase in the opportunity for illegal activity accompanies such growth and plan accordingly.     

Foreclosure,vacancy and crime

This paper examines the impact of residential foreclosures and vacancies on violent and property crime. To overcome confounding factors, a difference-in-difference research design is applied to a unique data set containing geocoded foreclosure and crime data from Pittsburgh, Pennsylvania. Results indicate that while foreclosure alone has no effect on crime, violent crime rates increase by roughly 19% once the foreclosed home becomes vacant – an effect that increases with length of vacancy. We find weak evidence suggesting a potential vacancy effect for property crime that is much lower in magnitude.     

Inequality and Crime: Separating the Effects of Permanent and Transitory Income*

Earlier studies on income inequality and crime have typically used total income or total earnings. However, it is quite likely that it is the changes in permanent rather than in transitory income that affects crime rates. The purpose of this paper is therefore to disentangle the two effects by, first, estimating region‐specific inequality in permanent and transitory income and, second, estimating crime equations with the two separate income components as explanatory variables. The results indicate that it is important to separate the two effects; while an increase in the inequality in permanent income yields a positive and significant effect on total crimes and three different property crimes, an increase in the inequality in transitory income has no significant effect. Using a traditional, aggregate, measure of income yields insignificant effects on crime.     

Theories of punishment and empirical trends in corporate criminal sanctions

Economists who have studied crime and punishment have long advocated imposing an ‘optimal penalty’ equal to harm divided by the probability of detection. Recent theoretical advances have augmented this theory in the context of corporate crime, by examining the role of individuals within an organization convicted of crime. This revised theory takes into account the principal-agent relationship inherent in the employer-employee contract. This paper reviews optimal penalty theory as it applies to corporate crime, and derives its testable implications. These empirical implications are then tested against a sample of organizations convicted of federal crimes in the USA. It is shown that current prosecutorial and sentencing practice is consistent with optimal penalty theory to the extent that it calls for (1) increased sanctions with increased harm, and (2) increased individual liability when the organization cannot afford to compensate for the harm imposed. Several other empirical issues are examined, including the penalty for going to trial and the ‘deep pocket’ effect.     

Mafia risk perception: Evaluating the effect of organized crime on firm technical efficiency and investment proclivity

The presence of illegal organizations in economic development settings contributes to the Italian economy’s regional heterogeneity by exacerbating other inefficiencies. We aim to investigate how three indicators of awareness of criminal interest in a firm’s activities affect the latter’s efficiency, as well as examining a potential channel through which illegal activities could hinder firm performance, using a unique set of firm-level data. According to our findings, the presence of criminal network pressure in a firm’s environment reduces its technical efficiency and propensity to invest. This phenomenon is particularly strong in Italy’s underdeveloped regions, across all illicit considered and risk classes, with inefficiency doubling when the fear of crime becomes significant. A similar pattern emerges in terms of firm investment proclivity. The research findings are relevant for policymakers because they demonstrate that even the perception of a criminal threat has significant effects on a firm’s performance; consequently, enhancing legal protection could prevent significant economic and social costs.     

Organized crime and public spending: a panel data analysis

The aim of this paper is to investigate, empirically, what components of public spending imply a decreasing effect on organized crime and what components create opportunities for organized crime, discussing also the role of government efficiency. Using a panel data analysis, the results show a strikingly consistent pattern for the EU Member States. Organized crime mainly operates in the distribution of government spending for local public goods and public provision of private services. There is a decreasing effect on organized crime of the public expenditure devoted to education and social policy. Government efficiency in public spending is beneficial to limit the opportunities of the organized crime.     

After the economic crisis of 2008: Economic conditions and crime in the last decade for the case of Spain

The economic approach to crime confirms that the deterioration of economic conditions influences the motivation of potential offenders to commit a crime or not. The relationship between crime and the economy status received considerable attention among the international literature. However, in Spain, there are just few studies that analyse this connection, and those that analyse the influence of the deterioration of the economy on crime after the crisis that began in 2008 are practically non-existent. In order to fill this gap, this research applies the difference-GMM estimator for a sample of 47 provinces during the 2010–2018 period and controls the influence of different economic, demographic and dissuasive factors on the crime rate. The results obtained are similar to those of different investigations, since in the face of worsening economic conditions, no evidence of a positive and uniform effect on the crime rate is detected, especially when it differs according to different types of crimes possible. However, that relationship does exist and is robust in property crimes. Another common result in the empirical literature is also confirmed: adolescent male cohorts present the highest crime rates.     

Immigration,socio-economic conditions and crime: a cross-sectional versus cross-sectional time-series perspective

This study purpose is to verify if there is an association between foreign immigration and crime. In doing this, the study investigates also some satellite aspects revolving around this possible association: the range of offences affected by immigration, the relationship between immigrant and native crime, and whether the immigration impact on crime is direct or indirect. The present study has addressed these issues by both a cross-sectional and a longitudinal analysis, the latter including an instrument. The study is based on data of the Italian provinces. Italy represents a critical case for studying the migration–crime relationship, because in this country the rise in foreign immigration has been sudden and its pace feverish. The cross-sectional analysis findings show that crime intensities are affected by time-invariant factors and marginally by immigration. On the contrary, the longitudinal analysis shows that variations in immigration had a positive impact on both the most serious and the most common offences, on property crimes as well as on crimes of violence. There is no evidence of indirect effects of immigration on crime or of a link with native crime. In contrast to previous literature regarding the U.S., Canada, and Australia, these results suggest that a spiralling immigration can affect crime. In terms of methods, these findings show that the standard synchronic analysis models can be biased by non-observed factors and that therefore cross-sectional time-series models can offer significant advantages.     

Identifying crime generators and spatially overlapping high-risk areas through a nonlinear model: A comparison between three cities of the Valencian region (Spain)

The behavior and spatial distribution of crime events can be explained through the characterization of an area in terms of its demography, socioeconomy, and built environment. In particular, recent studies on the incidence of crime in a city have focused on the identification of features of the built environment (specific places or facilities) that may increase crime risk within a certain radius. However, it is hard to identify environmental characteristics that consistently explain crime occurrence across cities and crime types. This article focuses on the assessment of the effect that certain types of places have on the incidence of property crime, robbery, and vandalism in three cities of the Valencian region (Spain): Alicante, Castellon, and Valencia. A nonlinear effects model is used to identify such places and to construct a risk map over the three cities considering the three crime types under research. The results obtained suggest that there are remarkable differences across cities and crime types in terms of the types of places associated with crime outcomes. The identification of high-risk areas allows verifying that crime is highly concentrated, and also that there is a high level of spatial overlap between the high-risk areas corresponding to different crime types.     

Crime and Racial Composition in Contiguous Communities as Negative Externalities: Prejudiced Household's Evaluation of Crime Rate and Segregation Nearby Reduces Housing Values and Tax Revenues

Abstract . How the level of amenities in surrounding communities affects the residential location decisions of households is considered. The amenities specifically taken into account are the crime and racial composition of the household's community and the contiguous communities. The theory of the household's valuation of neighborhood amenities through a housing value equation is expanded to include how the household's valuation of amenities is affected by the amenities in surrounding areas. An empirical model using data for 71 suburban communities in the Chicago Standard Metropolitan Statistical Area is specified to measure the simultaneous interaction between housing values, crime, and police effort. A revenue equation is included to determine how the household's valuation of crime and racial composition could affect the community's revenue-raising ability. The empirical results indicate that the crime and racial composition of surrounding communities as well as within the household's community have a statistically significant negative effect on housing values. While the magnitude of the effect is small, the empirical results suggest that households consider the crime rate and racial composition of surrounding communities as negative externalities.     

Is There a Natural Rate of Crime?

Studies in the economics of crime literature have reached mixed conclusions on the deterrence hypothesis. One explanation that has been offered for the failure to find evidence of a deterrent effect in the long run is the natural rate of crime. This article applies univariate unit root tests to crime series for the United Kingdom and United States and panel unit roots to crime rates for a panel of G7 countries to examine whether there is a natural rate of crime. Our main finding is that when we allow for two structural breaks in the univariate unit root test and a structural break in the panel data unit root test, there is strong evidence of a natural rate of crime. The policy implications of our findings is that governments should focus on altering the economic and social structural profile that determines crime in the long run rather than increasing expenditure on law enforcement that will at best reduce crime rates in the short run.     

论当代刑事政策中价值选择及方法论

现代刑事政策的发展是和人们对于犯罪及刑罚认识的不断深化密切相关,将犯罪放在社会的角度,不但构成了预防的长链条,使刑罚不再成为解决犯罪的唯一解药;同时,刑罚的施用也不再是对犯罪处理的结束,对犯罪行为矫正的链条也应当在社会生活的背景下继续延长,形成对犯罪行为更为深刻和持久性的影响。与此相关,在当代刑事政策的采纳运用中,刑罚个别化作为其方法论选择,则成为不可忽视的其中一环。